For AI-driven businesses

The right expertise for the work ahead.

Driven by strategy, rooted in hands-on skill.

Work. Collaborate. Have fun.

Your next AI decision may be about a business case, a dataset, a model, an application, or the infrastructure underneath it. You should not have to know every specialty to find the right help.

3Fabrics.ai is being built to connect your team with relevant engineers, consultants, practical resources, and a community that understands the work.

A workbench, a trusted circle of engineers and a fun community.

Work · Find expertise and share opportunities

Bring a project, a job, or a defined problem. Explore portfolios that explain the challenge, the specialist’s contribution, the outcome, and the actual review status.

Keep trusted consultants and your own engineers connected through planned private resource pools. Find complementary skills when your team needs something different.

Collaborate · Give your team a wider engineering circle

Your engineers are members of the community too. They can learn, share methods, request a second opinion, and contribute to resources other people can use.

Draw on knowledge across disciplines rather than treating each technical decision in isolation.

Have fun · Meet the people behind the expertise

A shared interest or a good conversation can become a lasting relationship. Your team can enjoy the personal projects and experiences around engineering without turning social participation into an employee assessment.

Tell us about your AI project

Find the expertise your AI project needs.

From the first business question to the system people use every day.

Choose the expertise you need and where you are in the project. Then refine by specific skills, relevant experience, and reviewed evidence.

This is the breadth we’re building toward. It is not a claim that every specialty is already available.

Strategy, architecture & adoption

Area of expertise	Examples of work
AI Strategy & Business Transformation	Use-case discovery, readiness assessments, business cases, roadmaps, operating models, and adoption planning.
Enterprise & AI Solution Architecture	End-to-end solution design, technology selection, build-versus-buy decisions, integration, and requirements.
AI Product & Experience Design	Product discovery, user research, human–AI interaction, conversational experiences, accessibility, and usability evaluation.

Data, models & intelligent applications

Area of expertise	Examples of work
Data Science & Decision Intelligence	Forecasting, recommendations, experimentation, optimization, anomaly detection, and decision support.
Data Engineering & Knowledge Systems	Data pipelines, quality, databases, knowledge graphs, document processing, retrieval, and data preparation.
Machine Learning & AI Research	Model development, deep learning, training methods, fine-tuning, research reproduction, and applied experimentation.
Generative AI, Language Models & Agents	Retrieval-augmented generation, model adaptation, prompt and context design, agent workflows, and tool integration.
Computer Vision, Speech & Multimodal AI	Image and video understanding, speech recognition and generation, document intelligence, and combined-input systems.
Robotics, Autonomous Systems & Edge AI	Perception, planning, control, simulation, embedded inference, sensor integration, and edge deployment.

Software, platforms & infrastructure

Area of expertise	Examples of work
AI Application & Software Engineering	Backend and frontend applications, APIs, integrations, workflow automation, testing, and connections to existing systems.
Cloud, Platform Engineering & MLOps	Cloud architecture, deployment pipelines, model serving, orchestration, model lifecycle management, and automation.
Compute, Accelerators & HPC	GPUs and accelerators, servers, operating systems, cluster scheduling, parallel computing, and workload optimization.
Networking & AI Fabrics	Cluster fabrics, connectivity, routing, network automation, and communication-performance troubleshooting.
Storage & Data Protection	Storage architecture, availability, backup, recovery, checkpointing, and training/inference data delivery.
Data Center Engineering	Power, cooling, rack integration, physical capacity, commissioning, and facility efficiency.

Trust, performance & delivery

Area of expertise	Examples of work
Cybersecurity & Privacy Engineering	Threat modeling, identity and access, application and infrastructure security, AI security testing, and privacy controls.
Responsible AI & Governance	Risk assessment, governance processes, documentation, human oversight, fairness evaluation, and assurance evidence.
AI Evaluation, Performance & Reliability	Model-quality evaluation, benchmarking, load tests, observability, resilience, inference efficiency, and cost/energy analysis.
Technical Delivery, Training & Service Management	Program and project delivery, supplier coordination, operational handover, training, and knowledge transfer.

Other expertise

A specialist discipline, an emerging capability, or a combination that does not fit the list? Tell us what you have in mind.

Where are you in the project?

Discovery & Assessment · Strategy & Planning · Architecture & Design · Proof of Concept & Pilot · Implementation & Integration · Validation & Acceptance · Deployment & Handover · Operations & Support · Optimization & Scaling · Retirement & Decommissioning · Other

Have a particular initiative?

New Implementation · Migration & Consolidation · Upgrade & Modernization · Troubleshooting & Recovery · Assessment & Independent Review · Training & Knowledge Transfer · Other

Choose any that apply. An initiative can span several stages; Other can be selected alongside the existing categories.

Different challenges. One connected network.

Your challenge	Relevant expertise and stage	What to look for
Which AI idea should we pursue?	AI Strategy × Discovery & Assessment	Use-case evaluation, readiness, business case, and a practical roadmap.
We want an assistant that uses our internal knowledge.	Generative AI + Data Engineering × Architecture & Design	Retrieval, access controls, document preparation, application integration, and evaluation.
Our vision model struggles outside the lab.	Computer Vision + Edge AI × Validation & Acceptance	Representative tests, error analysis, robustness, and deployment-context review.
We need an agent to complete a business workflow reliably.	AI Agents + Software Engineering × Implementation & Integration	Tool integration, exceptions, test cases, workflow controls, and human approvals.
Our forecasts need to improve operational decisions.	Data Science × Proof of Concept & Pilot	Baselines, suitable measures, experimentation, and integration into decisions.
We need an independent assessment before deployment.	AI Governance + Security + Evaluation × Validation & Acceptance	Risk review, testing, limitations, and acceptance evidence.
Inference costs are growing faster than usage.	Performance Engineering + MLOps × Optimization & Scaling	Workload analysis, serving configuration, and quality-versus-cost comparisons.
Training does not scale as expected.	Compute + Networking × Operations & Support	Measurement planning, bottleneck analysis, and targeted troubleshooting.

Specific skills. Clear context. Relevant evidence.

Illustrative skills: RAG evaluation · Multilingual speech recognition · Recommendation-system experimentation · Agent tool integration · Model quantization · Edge vision optimization · Knowledge-graph design · AI security testing · Distributed-training diagnosis · RoCEv2 congestion troubleshooting

A skill is more useful when you can see what someone worked on, what they actually did, and what evidence supports it.

Not sure which specialist you need?

Describe the outcome, the obstacle, or the next decision. You should not have to know the right job title before asking for help.

Tell us about your AI project

Understand the evidence before choosing the expertise.

A useful profile should show where someone can contribute, not just list familiar technologies.

Look for the challenge, the person’s role, the environment, and the result. A review should state exactly what was checked and its limitations. A customer reference and a technical assessment contribute different information.

Portfolio publication is not automatic verification. Community recognition is not a professional qualification.

Your information stays with the right people.

We’re designing private resource pools, assessments, negotiated rates, and project history to remain separate from public profiles.

Your organization’s private records belong with its authorized people, not another company. Project evidence follows its own explicit access permissions. Qualification notes are limited to the people assigned to that review.

These boundaries apply to search, notifications, exports, and AI features as well as the page you are viewing.

Private designs will not be used to train AI models.

Public portfolio examples require the appropriate permissions and separate publication approval.

Bring your team, not just your requirements.

Your own engineers can learn, teach, and contribute alongside consultants. Use the community to extend your team’s capability, not only to fill a vacancy.

The planned AI Outcome and Performance Assessment will connect a defined objective to an Outcome Map, baseline, gap analysis, and practical next steps. Reviews, training, and other scoped services can follow the needs that emerge.

Help shape the first services.

Bring an active or upcoming AI project and tell us what would make this network useful to your team. Strategy, data, models, applications, infrastructure, and operations all belong in the conversation.

The first activities will reflect the needs and available expertise of the founding group. We will be clear about which capabilities are available at each stage.

Work. Collaborate.
Have fun.

A network in the making

Help shape a place worth coming back to.

A workbench, a trusted circle of engineers and a fun community.

We’re bringing together engineers, specialists, and businesses across AI strategy, data, models, software, infrastructure, security, and operations.

Bring a challenge, a skill you want to develop, or experience that could help someone else. Help shape the first discussions, reviews, resources, and tools.

You do not need a finished portfolio or a job search to take part.

Join as an engineer or consultant

Join as a founding business